Fast chemical exchange saturation transfer imaging based on PROPELLER acquisition and deep neural network reconstruction

Volume: 84, Issue: 6, Pages: 3192 - 3205
Published: Jun 30, 2020
Abstract
Purpose To develop a method for fast chemical exchange saturation transfer (CEST) imaging. Methods The periodically rotated overlapping parallel lines enhanced reconstruction (PROPELLER) sampling scheme was introduced to shorten the acquisition time. Deep neural network was employed to reconstruct CEST contrast images. Numerical simulation and experiments on a creatine phantom, hen egg, and in vivo tumor rat brain were performed to test the...
Paper Details
Title
Fast chemical exchange saturation transfer imaging based on PROPELLER acquisition and deep neural network reconstruction
Published Date
Jun 30, 2020
Volume
84
Issue
6
Pages
3192 - 3205
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